Pankaj K. Agarwal

13.4k citations
299 papers · 6.8k indexed · h-index 44
Topics
Computational Geometry and Mesh Generation (219 papers)Data Management and Algorithms (121 papers)Digital Image Processing Techniques (57 papers)
Journals
SHILAP Revista de lepidopterologíaCommunications of the ACMEcology Letters

In The Last Decade

Pankaj K. Agarwal

290 papers receiving 6.3k citations

Peers

Pankaj K. Agarwal
Comparison fields: 5 of 142
  • Computer Graphics and Computer-Aided Design 3.6k
  • Computer Vision and Pattern Recognition 2.3k
  • Signal Processing 2.2k
  • Computer Networks and Communications 1.3k
  • Computational Theory and Mathematics 1.2k
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Citations per year

Countries citing papers authored by Pankaj K. Agarwal

Since Specialization
Citations

This map shows the geographic impact of Pankaj K. Agarwal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pankaj K. Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj K. Agarwal more than expected).

Fields of papers citing papers by Pankaj K. Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pankaj K. Agarwal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pankaj K. Agarwal. The network helps show where Pankaj K. Agarwal may publish in the future.

Co-authorship network of co-authors of Pankaj K. Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj K. Agarwal. A scholar is included among the top collaborators of Pankaj K. Agarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pankaj K. Agarwal. Pankaj K. Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3
Theory of Reasoned Action and Organic Food Buying in India
2
4 3
5 1
6
I/o efficient algorithms and applications in geographic information systems
3
7
On Bipartite Matching under the RMS Distance
6
8 10
9 1
10 37
11 41
12 7
13
Approximation algorithms for bipartite and non-bipartite matching in the plane
25
14 15
15 60
16 33
17
Robotics : the algorithmic perspective : the Third Workshop on the Algorithmic Foundations of Robotics
6
18 8
19 19
20
On the Number of Views of Polyhedral Terrains.
7

About Pankaj K. Agarwal

Pankaj K. Agarwal is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 299 papers that have together received 6.8k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (219 papers), Data Management and Algorithms (121 papers) and Digital Image Processing Techniques (57 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3.6k citations), Signal Processing (2.2k citations) and Computer Vision and Pattern Recognition (2.3k citations). Pankaj K. Agarwal has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Micha Sharir, Jiřı́ Matoušek, Cecilia M. Procopiuc, Lars Arge, Sariel Har-Peled, Subhash Suri, Kasturi Varadarajan, Boris Aronov, Jeff Erickson and Nabil H. Mustafa. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Ecology Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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